Research Article
[Retracted] Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning Application
Table 5
The optimized weights and biases of the developed ANN-based model to predict σmax.
| I | | | b1,i | b2 | j = 1 | j = 2 | j = 3 | j = 4 | j = 5 |
| 1 | −5.288 | 0.974 | 0.115 | −0.124 | 0.237 | 2.121 | −0.633 | 1.772 | 2 | −0.020 | 3.497 | 2.157 | 0.157 | 2.459 | −0.857 | 1.606 | 3 | −4.615 | −0.558 | −0.743 | 0.988 | −0.925 | −1.908 | −0.092 | 4 | −2.858 | −0.075 | −2.373 | 0.783 | −1.055 | −1.383 | −0.509 | 5 | −1.201 | −1.491 | −0.970 | −0.522 | −0.885 | 3.055 | −0.035 | 6 | −0.756 | 1.804 | 4.202 | 1.636 | −1.023 | 1.835 | 3.599 | 7 | −0.002 | −1.251 | −4.740 | 2.218 | −0.499 | 1.323 | −1.971 | 8 | −4.088 | 1.246 | 2.770 | −0.589 | 0.330 | −2.059 | 1.539 | 9 | 2.196 | 1.176 | −1.558 | −2.904 | −2.890 | 0.659 | 1.519 | 10 | 0.519 | 1.456 | −1.624 | 1.092 | −0.417 | −2.393 | 0.747 | 11 | −3.117 | −2.333 | −1.600 | −0.911 | −0.393 | −1.537 | 0.218 | 12 | −0.026 | 0.495 | 2.698 | 1.203 | −0.665 | −3.343 | 2.087 | 13 | −3.189 | 0.415 | 0.263 | 3.192 | −0.008 | −1.378 | 1.887 | 14 | −2.627 | 1.138 | −0.152 | −0.991 | 0.599 | −2.080 | 0.345 | 15 | −0.748 | 0.988 | −0.362 | 2.850 | −1.012 | 1.309 | 1.783 | 16 | −1.820 | −0.330 | 5.310 | −0.836 | 2.682 | 1.322 | 2.900 | 17 | 4.885 | −0.756 | −0.698 | −4.450 | 1.975 | −0.703 | −1.525 | 18 | 1.690 | 4.334 | −2.065 | 2.208 | −0.449 | 2.556 | 0.216 | 19 | 2.966 | 0.747 | 1.833 | −1.345 | −0.235 | 1.933 | −2.519 | 20 | 0.710 | 1.635 | 0.142 | 0.234 | 2.167 | 1.664 | 0.974 | 21 | −0.775 | 1.511 | 2.444 | −1.423 | 0.499 | 2.918 | 1.118 | 22 | −1.433 | 1.751 | −0.098 | 2.574 | 0.924 | 1.049 | 0.727 | 23 | −0.376 | 1.619 | 1.941 | −1.190 | −2.214 | −0.530 | 0.037 | 24 | 0.571 | −0.637 | −1.583 | 1.343 | 0.394 | −2.217 | 1.060 | 25 | 5.831 | 0.459 | −0.280 | 0.811 | −0.423 | −2.284 | −2.314 | 26 | 3.484 | −3.748 | 3.357 | −5.355 | 1.395 | −0.355 | 0.712 | 27 | −2.568 | −1.966 | 0.084 | −0.359 | −1.958 | 2.117 | −0.860 | 22 | 1.083 | 0.485 | −4.025 | 0.816 | −1.657 | 2.744 | −2.142 | 29 | −2.825 | 0.173 | 4.042 | −0.750 | 0.857 | 2.337 | 2.254 | 30 | −0.017 | −1.234 | −4.583 | −1.940 | 0.968 | −1.241 | −2.621 | 31 | 1.081 | −0.800 | 0.352 | −1.558 | 0.610 | −3.118 | 1.441 | 32 | −2.956 | 1.570 | 0.844 | −0.173 | 0.263 | −2.507 | −1.213 | 33 | 0.958 | −0.203 | 1.742 | −1.198 | −1.032 | −2.362 | −1.351 | 34 | 2.337 | 6.044 | −1.494 | 1.849 | −0.748 | −1.676 | −0.694 | 35 | 1.236 | 0.410 | −0.855 | −2.636 | −0.213 | 0.856 | 0.355 |
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